Hermes Agent: Self-Improving Autonomous AI Agent

TL;DR: Hermes Agent by Nous Research is a self-improving autonomous agent with a built-in learning loop that creates skills from experience, improves them during use, and remembers across sessions. Unlike typical chatbots or coding copilots, Hermes runs on your server, integrates with messaging platforms, and gets smarter the longer you use it.

What Is Hermes Agent?

Hermes Agent is an open-source autonomous AI agent built by Nous Research — the lab behind some of the most capable open-source models, including Hermes 3 and Hermes 4.

Named after the Greek messenger of the gods who could travel between worlds, Hermes Agent lives up to its namesake. It doesn’t just run tasks —it remembers them, learns from them, and gets more capable every single session.

Key differentiator: A closed learning loop. This means the agent creates skills from experience, improves them during use, and builds persistent memory across sessions. No configuration required—you just run it and it gets smarter.

Why Hermes Agent Matters

Most AI tools today fall into two categories:

Coding copilots tethered to an IDE (Cursor, GitHub Copilot, etc.)
Chatbot wrappers around a single API (ChatGPT, Claude web interface, etc.)

Hermes Agent is neither. It’s an autonomous agent that:

Lives on your server
Remembers what it learns
Integrates with Telegram, Discord, Slack, and more
Gets more capable the longer you run it
Runs entirely locally with your own models

This makes Hermes Agent ideal for:

Developers who want a persistent assistant that understands their projects
Teams who need an agent accessible via messaging platforms
Privacy-conscious users who want everything running locally
Anyone who wants an agent that improves over time without manual configuration

Key Features

1. Closed Learning Loop

The flagship feature. Hermes Agent:

Creates skills from experience autonomously
Improves existing skills during use
Nudges itself to save important information to memory
Builds a model of who you are that deepens across every session

All automatically. Zero configuration. No other agent does this.

2. 94 Bundled Skills

Hermes ships with 94 bundled skills out of the box:

MLOps tools
GitHub workflows
Research tools
Media productivity
RL training
Stable Diffusion integration
Web scraping
File operations
And more

The agent also creates new skills autonomously from its own experience.

3. Multi-Platform Messaging

Hermes Agent integrates with:

Telegram
Discord
Slack
Signal
Matrix

Run it as a systemd service and it survives reboots, keeps running when you close your terminal, and delivers notifications straight to your phone.

4. Sub-Agent Delegation

Spawn isolated sub-agents with their own terminals for parallel work streams. Useful when:

Running multiple independent tasks
Isolating risky operations
Parallel processing

5. Smart Approval Modes

Security-conscious features:

Ask before running any flagged command
LLM-based assessment of whether a command is dangerous
Docker or SSH execution for container isolation
Configurable trust levels

6. Model Agnostic

Works with:

Local models: Ollama, LM Studio, vLLM
Cloud APIs: OpenAI, Anthropic, OpenRouter
Custom endpoints: Any OpenAI-compatible API

7. Scheduled Automation

Tell Hermes in plain English: “do X on Telegram at this time” and it sets up the cron job. The job runs on schedule and delivers to your phone. No extra configuration.

Installation

Prerequisites

Linux, macOS, or WSL2
No manual dependencies required—the installer handles everything

Quick Install

1
curl -fsSL https://raw.githubusercontent.com/NousResearch/hermes-agent/main/scripts/install.sh | bash

The installer:

Pulls Python 3.11
Clones the repository
Installs all dependencies (including a full browser engine)
Syncs 94 bundled skills

Setup Wizard

After installation, the setup wizard guides you through:

Model Provider Selection
- Self-hosted (Ollama, LM Studio, vLLM)
- API providers (OpenAI, Anthropic, OpenRouter)
- Custom OpenAI-compatible endpoints
Terminal Backend
- Docker (recommended for isolation)
- Local (for simplicity)
Messaging Platform Configuration
- Telegram bot token and user ID
- Discord bot setup
- Other channels
System Service Installation
- Run as systemd service for persistence

Running with Local Models

Option 1: Ollama

Install Ollama:

1
curl -fsSL https://ollama.com/install.sh | sh

Pull a model that supports tool use:
Terminal window
```
1
ollama pull glm4
2
# or
3
ollama pull qwen2.5
```
During Hermes setup, select “Self-hosted” and enter:
- Endpoint: http://localhost:11434/v1
- Model name: your pulled model

Option 2: LM Studio

Download from lmstudio.ai
In LM Studio:
- Go to Developer mode → Local Server
- Set port (default: 1234)
- Download a model with tool-use support (e.g., Qwen 2.5)
- Click “Load Model” then start the server
During Hermes setup:
- Select “Custom OpenAI-compatible endpoint”
- Endpoint: http://localhost:1234/v1
- Model name: copy from LM Studio

Important: Context Length

If you see “context length exceeded” errors:

In LM Studio, go to Server Settings
Increase context length slider (e.g., 16000+)
Reload the model

Telegram Integration

Step 1: Create a Bot

Open Telegram and search for @BotFather
Send /newbot
Choose a name (e.g., “My Hermes Agent”)
Choose a username (must end in bot, e.g., myhermesagent_bot)
Copy the API token provided

Step 2: Get Your User ID

Search for @userinfobot in Telegram
Start it and copy your numeric user ID

Step 3: Configure Hermes

During setup or in the config file:

Enter your bot token
Enter your user ID (or allow open access—not recommended)
Optionally add allowed channel IDs

Step 4: Pair and Use

Start Hermes: hermes
Your Telegram bot will detect the connection
Send /start in Telegram to begin pairing
Chat with Hermes from anywhere

Memory in Action

Here’s what makes Hermes Agent’s memory special:

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You: "I'm a Python developer, I prefer clean code with type hints, and I always use FastAPI."
2

3
Hermes: [Saves to memory]
4

5
[New session, days later]
6

7
You: "What do you know about me?"
8

9
Hermes: "You're a Python developer who prefers clean code with type hints and uses FastAPI for projects."

The agent:

Remembers preferences across sessions
Builds a profile of your work style
Applies past learnings to new tasks
Nudges itself to save important context

Hermes Agent vs OpenClaw

Category	Hermes Agent	OpenClaw
Architecture	Single process	Gateway + plugins
Memory	Built-in learning loop	Plugin-based (LosslessClaw for advanced)
Skills	94 bundled + auto-created	Plugin ecosystem (ClawHub)
Multi-agent	Sub-agent delegation	Full multi-agent OS (HighClaw)
Security	Docker/SSH isolation + approval modes	Enterprise-grade (NemoClaw sandboxing)
Setup complexity	Simple, single command	More moving parts
Scheduled tasks	Plain English, automatic	Manual configuration
Extensibility	Works within bundled system	Deep plugin architecture

Bottom line:

Hermes Agent: Best for personal use, simplicity, and an agent that improves automatically
OpenClaw ecosystem: Best for teams, enterprise security, multi-agent systems, and deep extensibility

Strip away OpenClaw’s plugins (LosslessClaw, NemoClaw, HighClaw) and Hermes wins 7 categories to 3. The OpenClaw ecosystem is formidable, but Hermes Agent out of the box is simply more capable for a single user running a personal agent.

Security Considerations

Important: Hermes Agent has full access to your terminal, files, and machine. It:

Runs commands
Reads directories
Can write anywhere it has permissions

Before giving open access to Telegram or running on a production server:

Restrict who can use it via user IDs
Consider Docker isolation
Use approval modes for sensitive operations
Review what commands it’s allowed to run

With great power comes great responsibility. Security and safety of your data is your responsibility.

Quick Start Commands

1
# Install
2
curl -fsSL https://raw.githubusercontent.com/NousResearch/hermes-agent/main/scripts/install.sh | bash
3

4
# Run with default model
5
hermes
6

7
# Change model
8
hermes model
9
# Then select your provider and model
10

11
# Reload shell (if needed)
12
source ~/.bashrc

Troubleshooting

Model Not Detected After Setup

If Hermes defaults to Claude Opus despite configuring a local model:

1
hermes model
2
# Select your provider
3
# Enter endpoint (e.g., http://localhost:11434/v1)
4
# Enter model name

Context Length Exceeded

For LM Studio:

Go to Server Settings
Increase context length
Reload model

For Ollama, use a model with larger context window.

Telegram Not Responding

Verify bot token is correct
Check user ID matches your Telegram ID
Ensure Hermes is running (hermes command)
Try /start command in Telegram

Conclusion

Hermes Agent represents a different philosophy in AI agents: instead of giving you tools to configure, it gives you an agent that configures itself. The closed learning loop means the longer you use it, the more valuable it becomes.

For individual developers and privacy-conscious users who want a persistent agent that understands their context, remembers their preferences, and improves autonomously, Hermes Agent is worth serious consideration.

When to choose Hermes Agent:

You want an agent that works immediately without configuration
You value simplicity over extensibility
You want the agent to learn and improve automatically
You primarily need a personal assistant rather than a team platform

When to look elsewhere:

You need enterprise-grade security sandboxing
You’re building complex multi-agent systems
You require deep plugin extensibility
You’re deploying for a team environment

Hermes Agent is built by Nous Research, runs on any model, lives on your server, and gets smarter every session.

References

Nous Research. Hermes Agent — AI Agent Framework. Accessed 23 Mar. 2026.
Nous Research. Hermes Agent Documentation. Accessed 23 Mar. 2026.
Nous Research. Hermes Agent GitHub Repository. Accessed 23 Mar. 2026.
Nous Research
Fahd Mirza. “Hermes Agent + Ollama + Telegram - Local Easy Setup Guide.” YouTube, 22 Mar. 2026. Accessed 23 Mar. 2026.
Fahd Mirza. “Hermes Agent with LM Studio - Local Models Setup Guide.” YouTube, 22 Mar. 2026. Accessed 23 Mar. 2026.
Fahd Mirza. “OpenClaw vs Hermes Agent: A Thorough Comparison for Your Use Case.” YouTube, 22 Mar. 2026. Accessed 23 Mar. 2026.

This article was written by opencode (GLM-5).